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Why Do You Need BigQuery For Your Marketing Data?

Florian Cabirol
April 30, 2024
Why Do You Need BigQuery For Your Marketing Data?

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The tutorial

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The tutorial

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The tutorial

Data is crucial as it not only helps marketers devise an ad campaign for the target audience but also helps enterprises in user-friendly production. According to the Statista Research Department, marketers in the US spend around 52 billion USD annually on acquiring data for businesses. 

As businesses grow, data becomes extensive in quantity, necessitating data warehouses and data lakes. Google BigQuery pops up in data warehouses with top-notch features that help store, process, and manage audience data with ease. 

A question may strike your mind: what is BigQuery? How does it work for marketing? This guide will answer every question related to this subject, helping you boost your marketing campaigns. 

BigQuery – A Closer Look

Digital transformation has changed the dynamics of multiple business models, and marketing is one of them. Google is the key player in digital transformation with industry-standard services and products. BQ is a serverless, enterprise-scale data warehouse that enables corporations to store their marketing data with many features. 

Since large companies have petabytes of customers’ data and information, buying hardware and computational devices to store and process it offers a challenge. Therefore, Google offers a cutting-edge solution for data management to businesses. Cloud storage gained popularity a few years back, becoming a billion-dollar industry. Statista suggests that public clouds will have a staggering global revenue of around 232 billion USD in 2024

With Google’s infrastructure, Google BQ combines data storage and computing in a single platform, paving the way for effective digital marketing that boosts lead generation and conversion. It allows users to access multiple Google services, including Colossus, Dremel, Jupiter data center, Borg, etc., for efficient data management. Google BQ ensures that your business has both data management and customer analytics at the fingertips for enhanced business growth. 

Industry-Standard Features of BigQuery

A cloud-based data warehouse, Google BQ hands control to businesses regarding managing data with artificial intelligence (AI) and machine learning (ML) models for seamless analytics. It comes with many features that make it an essential tool for enterprises. 

From interoperability and flexibility to Duet AI and others, it has vital features that make marketing lucrative and result-driven. Here are a few attributes that will tell you why BQ is key to marketing. 

1. One-Stop Shop Solution for Analytics

Working with data involves multiple steps that help data analysts facilitate corporations. From data ingestion to processing and analysis, BigQuery is a unified solution that performs everything for a business to stay ahead in its marketing game.

Moreover, it is home to irresistible AI and ML algorithms to aid organizations in text processing. That includes sentiment analysis, information extraction, and so on without needing an additional tool or high technical skills. You can access Vertex AI with a straightforward and minimal SQL or structured query language. 

Additionally, you can create digital marketing reports on Looker Studio with the Google Big Query you have ingesteed.

2. Duet AI for Seamless User Experience

In the data querying stage of working with Google BQ, Duet AI is one of the best features for a user-friendly experience. It offers contextual code assistance to make queries and requests for productive data analysis in BQ. 

From writing and fixing syntaxes in SQL and Python, Duet AI features helpful natural language processing (NLP) algorithms that understand human prompts easily. The forward-thinking ML model enables marketers and organizations to compute large data in seconds and extra-large data in minutes. 

3. Interoperability and Flexibility

With the multi-cloud analytics choice that Google BQ provides enterprises with, it becomes effortless to work with your marketing data. With its multiple editions, every business can get a package and pricing that suits their budget without compromising on features. 

You can start with a free version of BQ Sandbox to test its functionality and benefits. Once you understand its features, spending your budget on the full version is a lucrative investment that will ease business operations. 

Moreover, it offers an interoperable feature that helps marketers connect a multitude of services and clouds for quick data processing and digital marketing strategy. 

Working of BigQuery

The rise in social media usability has paved the way for pay-per-click (PPC) marketing. It has numerous benefits to enterprises since they can host their ad campaign on various digital platforms, such as Facebook, YouTube, TikTok, Snapchat, and so on, where myriads of users interact with it. 

You can make your PPC marketing more effective using BQ data warehouse. With its storage and analytics, you can curate your ad campaign to potential buyers, resulting in enhanced sales and revenue. It works in three steps, namely:

  • Data storage,
  • Data ingestion, 
  • Data querying.

Here are step-by-step instructions for Google BQ. 

1. Storage

BQ is a fully managed data warehouse on top of Google infrastructure. It has essential security integration to safeguard organizational databases from malicious actors and hackers. 

Getting started with BigQuery is straightforward. Sign up with your existing Google account on a browser without necessitating a data administrator. It has multiple modes to start using it, such as web user interface (UI), application programming interface (API), etc.

Once you get into Google’s data warehouse, it will store your data in a structured table that facilitates its computation and processing. With its automatic data management through AI models, it is the perfect solution for big data. 

2. Ingestion

Integration of data into the data warehouse is equally important, as you cannot get started with data analysis without it. Interoperable with every data analytics platform of Google, BQ makes data ingestion effortless. 

If you have stored your organizational information on Google Cloud Storage or Cloud DataFlow in any format, such as CSV, JSON, etc., you can import it to Google BQ on the go. Moreover, it also incorporates data from other clouds, such as Microsoft Azure, Amazon Web Services (AWS), etc. 

3. Querying

Querying is the decisive stage that enables marketers to drive traffic out of their ad campaigns for an organization. With extensive databases in place, effective querying or requesting from a user is demanded to get valuable insights about the market, customers, and their spending patterns. 

BQ uses the widely used structured query language (SQL) to extract analytics from extensive data from charts, graphs, and tables into a dashboard using queries or requests. You don’t need to have expert-level SQL skills to successfully compete in data querying since Google offers expert documentation to help users. 

Furthermore, data visualization is necessary for letting digital marketers design profitable campaigns. Though BQ doesn’t offer it, you can use third-party data visualization tools within its dashboard thanks to its interoperability and flexibility. 

Use Cases of Google BigQuery

Key performance indicators (KPIs) are statistical figures that let enterprises figure out their data analytics. KPI improves performance, aligns efforts, and eases decision-making for businesses regardless of their industry and size. Google BigQuery is integral for KPI reporting that paves the way for efficient data analysis. 

BQ helps enterprises to generate insights and create interactive dashboards via SQL queries, ML models and AI-driven toolkits. This way, evaluating market trends and historical data becomes easier, resulting in data-driven decisions for guaranteed growth. 

From Social Media Marketing (SMM) to content marketing analysis, and more, Google BQ has multiple use cases that we have discussed below. 

1. Facebook Ads Optimization

Facebook is one of the most widely used social media platforms, with millions of active users. It offers a lucrative opportunity for organizations to host their ad campaigns, providing them with an opportunity to showcase their products to potential buyers in a specific location. 

Google BQ optimizes targeted ad campaigns on Facebook using Duet AI and ML models for higher reach and conversion. Moreover, it offers KPIs for Facebook Ads that boost sales and revenues. 

2. Content Marketing Analysis

Content marketing analysis ensures the benefits of a marketing strategy. It not only helps businesses to draw customers, but also enables them to convert those audiences into potential buyers. According to a study by Content Marketing Institute, 40 percent of Business-to-Business (B2B) marketers prioritize documented content marketing strategy. 

Creating a content marketing strategy provides your business teams with a direction to work for a shared corporate goal. However, the strategy is incomplete without a thorough content marketing analysis. That is where the role of BigQuery pops up. 

Content marketing analysis eases development of marketing reports that are required for business growth. Google BQ supports SQL for conducting numerous queries simultaneously. With its effective incorporation in your business, you will be able to generate real-time insights in seconds without complicated coding expertise. 

3. Efficient Web Analysis

Customer Relationship Management (CRM) helps businesses and organizations stay in touch with their audience, which builds their brand value and reputation in the market. Using Google BQ enables enterprises to analyze CRM data through web analytics for assessing customers’ behavior before and after making purchases. 

With its integration with other tools, you can export CRM data at your fingertips to Google Cloud Platform or other cloud storage platforms, resulting in enhanced sales strategy and future business operations. 


The success of a business lies in its organizational data and its analysis. Digital marketing can become fruitful if you have industry-standard insights about the market, customers, and competitors. That’s where BigQuery comes in. It offers multiple cutting-edge features that enhance marketing strategy. 

However, taking full advantage of BigQuery’s features for your marketing campaign can often become a challenge. This is where you can effectively benefit from its seamless integration with Catchr. Catchr is an industry leader in data visualization and digital marketing reports. 

Trusted by over two thousand companies globally, it allows corporations to improve their marketing strategies. So, next time you want to analyze data and make much out of it, try Catchr.

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In this template, you will find all the metrics and dimensions you would need to get a better view of your data.

If you need more templates, you could look at our looker studio template gallery.

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In this template, you will find all the metrics and dimensions you would need to get a better view of your data thank to our integrations.

If you need more templates, you could look at our PowerBI template gallery.

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